Data Scientist

  • Atlanta, GA
  • Posted 18 hours ago | Updated 18 hours ago

Overview

Hybrid
$50 - $60
Contract - W2
Contract - 12 Month(s)
50% Travel
Able to Provide Sponsorship

Skills

Amazon Web Services
Analytical Skill
Cloud Computing
Collaboration
Dashboard
Data Analysis
Data Cleansing
Data Management
Data Modeling
Data Quality
Data Science
Data Visualization
Data Wrangling
Database
Good Clinical Practice
Google Cloud Platform
Machine Learning (ML)
Microsoft Azure
Microsoft Power BI
Modeling
NoSQL
Predictive Analytics
Probability
PyTorch
Python
SQL
Statistics
R
Tableau
TensorFlow
matplotlib
scikit-learn

Job Details

We are seeking a highly skilled and analytical Data Scientist for a hybrid W2 position in Atlanta, GA. The ideal candidate will have a strong foundation in data modeling, machine learning, statistical analysis, and the ability to turn complex data into actionable insights that drive business outcomes.

Key Responsibilities:

  • Analyze large datasets to identify patterns, trends, and actionable insights.

  • Build and deploy machine learning models and predictive analytics solutions.

  • Perform data cleaning, feature engineering, and statistical analysis.

  • Collaborate with business stakeholders to gather requirements and translate them into data science solutions.

  • Develop dashboards, visualizations, and reports to communicate findings to non-technical audiences.

  • Work with data engineers to optimize data pipelines and ensure data quality.

  • Document models, methodologies, and findings for future reference and transparency.

Required Skills:

  • 5+ years of experience as a Data Scientist in a professional setting.

  • Strong programming skills in Python or R for data analysis and modeling.

  • Experience with machine learning frameworks (scikit-learn, TensorFlow, PyTorch).

  • Proficient in SQL and working with relational or NoSQL databases.

  • Strong understanding of statistics, probability, and data wrangling.

  • Experience with data visualization tools like Tableau, Power BI, or Matplotlib/Seaborn.

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud Platform) for model deployment and data management.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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